Triple
T20808123
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Women |
E512218
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object | Sylvia Fowler |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Sylvia Fowler | Statement: [The Women, hasCharacter, Sylvia Fowler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sylvia Fowler Context triple: [The Women, hasCharacter, Sylvia Fowler]
-
A.
Sylvia Fowler
chosen
Sylvia Fowler is a scheming, sharp-tongued Manhattan socialite and chief instigator of gossip in the classic 1939 film "The Women."
-
B.
Sylvia Vanderpool
Sylvia Vanderpool, better known as Sylvia Robinson, was an American singer, record producer, and music executive often called the "Mother of Hip-Hop" for her pioneering role in bringing rap music to the mainstream.
-
C.
Sylvia Noble
Sylvia Noble is a recurring Doctor Who character, best known as Donna Noble’s outspoken and overprotective mother.
-
D.
Sylvia Lucas
Sylvia Lucas is a South African politician who served as Premier of the Northern Cape province.
-
E.
Marjorie Fowler
Marjorie Fowler was an American film editor known for her work on numerous Hollywood productions from the 1950s through the 1970s.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e0b4cc69f481908e98751e697b9df4 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2d0a2a081908fb0e3d890e87aaf |
completed | April 21, 2026, 12:20 a.m. |
Created at: April 16, 2026, 12:40 p.m.